Insurance Claims and Policy Processing Clerks

With an automation risk score of 65%, Insurance Claims and Policy Processing Clerks faces a significant risk of AI-driven displacement. Many core tasks in this role can be automated by current AI systems. However, full replacement is unlikely in the near term -- AI will more likely transform the role rather than eliminate it entirely.

Our estimated AI automation risk score for Insurance Claims and Policy Processing Clerks is 65% for 2025. Estimated overall AI exposure is 67%, with 81% theoretical exposure and 41% observed exposure. The estimated risk trend from 2023 to 2025 is +11 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Insurance Claims and Policy Processing Clerks are: Enter and update policyholder information in databases (85%), Review and process insurance claims submissions (80%), Calculate premiums and adjust policy terms (76%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a -5% employment change for Insurance Claims and Policy Processing Clerks between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 67%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily automates tasks in this role, professionals in Insurance Claims and Policy Processing Clerks should focus on developing skills that complement AI rather than compete with it. Consider learning AI tool management, shifting toward supervisory and quality-control tasks, and building expertise in areas where human judgment remains essential.